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Patient profiling for success after weight loss surgery (GO Bypass study): An interdisciplinary study protocol
Bodil Just Christensen1, Julie Berg Schmidt2, Mette Søndergaard Nielsen2,3
1Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Denmark.
Weight loss after gastric bypass (RYGB) and sleeve gastrectomy (SL) varies greatly. This study investigates biological, behavioral, and contextual factors to create a comprehensive model for predicting bariatric surgery success.
Area of Science:
- Bariatric surgery outcomes
- Obesity research
- Multidisciplinary health
Background:
- Mechanisms explaining weight loss after RYGB and SL are insufficient to account for individual variability.
- Obesity development involves complex biological, behavioral, affective, and contextual factors, influencing treatment success.
- Existing models lack a holistic approach, necessitating integrated explanatory frameworks.
Purpose of the Study:
- To investigate the wide range of individual outcomes following RYGB and SL.
- To develop a multi-dimensional predictive model incorporating biological, psychological, and sociological factors.
- To enhance understanding of factors influencing weight loss variability after bariatric surgery.
Main Methods:
- Prospective study of 55 patients (47 women, 8 men) aged 25-56 with a BMI of 45.8 ± 7.1 kg/m² awaiting RYGB or SL.
- Comprehensive assessment of physiological, psychological, and sociological endpoints pre-surgery and at 1.5, 6, and 18 months post-surgery.
- Inclusion of diverse measures: anthropometrics, genetics, gut microbiota, appetite hormones, psychiatric symptoms, eating disorders, personality traits, sociodemographics, and eating behaviors.
Main Results:
- Data collection across multiple domains including physiological, psychological, and sociological factors.
- Development of a novel multi-dimensional predictive model integrating diverse scientific disciplines.
- Primary endpoint data publication anticipated in 2018.
Conclusions:
- A comprehensive, multi-dimensional approach is crucial for understanding and predicting weight loss variability after bariatric surgery.
- Integrating biological, behavioral, affective, and contextual factors offers a more complete explanatory model.
- This research pioneers a holistic methodology to address individual differences in bariatric surgery outcomes.
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